Evidence map›Paper›PMID 37215768›Full record

ArticleHeliyon2023

Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis.

Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chainarong AmornbunchornvejNational Electronics and Computer Technology Center (NECTEC), NSTDA, Pathum Thani, 12120, Thailand.
Navaporn SurasvadiNational Electronics and Computer Technology Center (NECTEC), NSTDA, Pathum Thani, 12120, Thailand.
Anon PlangprasopchokNational Electronics and Computer Technology Center (NECTEC), NSTDA, Pathum Thani, 12120, Thailand.
Suttipong ThajchayapongNational Electronics and Computer Technology Center (NECTEC), NSTDA, Pathum Thani, 12120, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poverty is one of the fundamental issues that mankind faces. To solve poverty issues, one needs to know how severe the issue is. The Multidimensional Poverty Index (MPI) is a well-known approach that is used to measure a degree of poverty issues in a given area. To compute MPI, it requires information of MPI indicators, which are

Indexed as

Causal inferenceEstimation statisticsFrequent pattern miningMultidimensional Poverty Index

Identifiers

PMID37215768
PMCPMC10196507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.